Title :
On optimal channel identification by use of training sequences and pilot tones
Author :
Manton, Jonathan H.
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Abstract :
Both training sequences and pilot tones can be used to identify communication channels, the latter being more commonly used in orthogonal frequency division multiplexing (OFDM) systems. This paper, by first deriving a tight lower bound on the variance of the channel estimation error, deduces the class of training sequences and the class of pilot tones which are optimal. Moreover, it is proved that both training sequences and pilot tones can achieve the same level of performance under certain conditions
Keywords :
OFDM modulation; binary sequences; optimisation; parameter estimation; OFDM systems; channel estimation error; lower variance bound; optimal channel identification; orthogonal frequency division multiplexing systems; performance; pilot tones; training sequences; Additive white noise; Australia Council; Channel estimation; Communication channels; Frequency division multiplexing; Frequency domain analysis; Maximum likelihood estimation; OFDM; Signal processing; Sufficient conditions;
Conference_Titel :
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6703-0
DOI :
10.1109/ISSPA.2001.950216
